Dr Annette Payne
Lecturer
Wilfred Brown Building 210
- Email: annette.payne@brunel.ac.uk
- Tel: +44 (0)1895 266295
Research area(s)
My research interests are divided into two areas:
1. Computational and systems biology, including machine learning, bioinformatics and medical informatics.
2. Technology assisted learning, including e-learning, blended learning, cross discipline use of technology in the arts and design.
Research Interests
- Data Mining
- Human-computer Interaction
- Computing in Mathematics, Natural Science, Engineering and Medicine
- Bioinformatics
- Molecular Biology
- Systems Biology
- Human Genetics
- Next Generation Sequencing
- Gene Expression
- Genomics
- Transcriptomics
- E-Learning
- Blended Learning
- TEL
- Synthetic Biology
- Bioinformatics and Computational Biology
Research grants and projects
Research Projects
Project details
Projects I have received funding for: Wellcome Trust: Molecular Biology of Caldesmon MRC: Molecular Genetics of Retinal Degenerations Higher Education Academy: Feedback and simulations in e-learning packages NHS: Collection and genetic analysis of patient cancer tissue samples
Other projects I have been involved in include: Systems biology knowledge from microarray data Identification of leukaemia cells using automated computation recognition Signature mining of gene expression data
I currently have EU funding for the following projects: EU FP7: EFACTS project to better understand the molecular biology of Friedrichs Ataxia EU FP7: CRe-AM project to road map the use and development of ICT in the creative industries
Other projects I am currently working on include: Feedback what when and how in e-learning management systems Whole genome epigenetic computational analysis of cancer cells
Research links
Co-author network
- Dr Stephen Swift
- Prof Xiaohui Liu
- Prof Christina Victor
- Prof Louise Mansfield
- Prof Michael Themis
- Prof Emmanouil Karteris
- Dr Nayna Patel
- Prof Susan Jobling
- Prof Simon Taylor
- Prof Zidong Wang
- Prof Allan Tucker
- Dr Emma Bourton
- Visualise network
Similar research interests
Research group(s)
- IEHS